code: def mult_sparse_train_data(mult_dense_train_data):
      mult_dense, mult_target = mult_dense_train_data
      mult_sparse = sp.csr_matrix(mult_dense)
      return mult_sparse, mult_target
  
file_path: lightning/lightning/impl/tests/conftest.py
imports: import pytest
  import scipy.sparse
  from sklearn.datasets import load_iris
  from lightning.impl.datasets.samples_generator import make_classification
label_desc: Use image node_id 6 for calling a global function with example usage: mult_sparse_train_data(mult_dense_train_data) and returns: mult_sparse,  mult_target